Exact Bit Error-Rate Analysis of Two-User NOMA Using QAM With Arbitrary Modulation Orders

Assaf, Tasneem; Al-Dweik, Arafat; Moursi, Mohamed Shawky El; Zeineldin, H. H.; Al‐Jarrah, Mohammad

doi:10.1109/lcomm.2020.3020161

Cited by 68 publications

(45 citation statements)

References 26 publications

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“…Unlike most of work on the NOMA literature e.g. [1], [5], [6] which require strict user power control to ensure SIC method works satisfactorily, we show here that CSMA can operate well even under the equal power for users and maintain decent SER. We provide theoretical analysis of SER of CSMA using minimum distance method to derive SER upper bounds and validate them with numerical simulations.…”

Section: Introductioncontrasting

confidence: 50%

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Collaborative Signal Multiple Access: A Robust Alternative to NOMA Using SIC

Shakya¹,

Ali²

2021

Preprint

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<p>This paper proposed a novel non-orthogonal multiple access scheme called CSMA that addresses some of critical shortcomings of NOMA that are the stumbling blocks for it to be considered an enabling technique for enhancing the capacity of 5G and 6G wireless communications. We provide some radical insights into the design of signals and detection technique for overcoming multi-user interference that makes it implementable in practice. We provide a sound theoretical analysis of its performance and validate the significance of numerical results.</p>

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Section: Introductioncontrasting

confidence: 50%

“…For the SIC to work satisfactorily, a strict power alocation condition of users must be met [5], [6]. For the case of K = 2, assuming user 2 has worse channel than user 1, the power allocation rule is given in [6] as follows:…”

Section: A Existing Noma Sic Receiversmentioning

confidence: 99%

Collaborative Signal Multiple Access: A Robust Alternative to NOMA Using SIC

Shakya¹,

Ali²

2021

Preprint

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“…Power assignment in NOMA can be generally designed to be fixed or dynamic. Fixed power assignment has low complexity and does not require prior knowledge of the channel state information (CSI) at the transmitter [12], [13], [16], [18], [20]. However, it cannot satisfy the users' BER requirements or minimize the average BER.…”

Section: Introductionmentioning

confidence: 99%

Power-Tolerant NOMA Using Data-Aware Adaptive Power Assignment for IoT Systems

Yahya

Al-Dweik

Alsusa

2021

IEEE Internet Things J.

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Non-orthogonal multiple access (NOMA) is a promising candidate for future wireless networks due to its ability to improve the spectral-efficiency and network connectivity. Nevertheless, the error rate performance of NOMA depends significantly on the power assignment for each user, which requires accurate knowledge of the channel state information (CSI) at the transmitter, which can be challenging for several applications such as wireless sensor networks (WSNs) and Internet of Things (IoT). Therefore, this paper proposes a power-tolerant NOMA by adaptively changing the signal power of each user to reduce the system sensitivity to inaccurate power assignment. The power adaptation in the power-adaptive NOMA (PANOMA) is performed based on the transmitted data, and it does not require accurate CSI. To quantify its potential, the bit error rate (BER) and the lower bound capacity performance, over Rayleigh fading channels, are derived in exact closed-forms for two and three users scenarios. The results demonstrate that PANOMA provides a tangible BER performance improvement over conventional power-domain NOMA when both schemes use sub-optimal power assignment, which is typically experienced in practical scenarios involving channel time variation and CSI estimation errors. Specifically, it will be shown that both schemes provide similar BERs using optimal assignment, but the PANOMA offers BER reeducation by a factor of 10 for certain scenarios when suboptimal power values are assigned. The integrity of the analytical results is verified via matching extensive Monte Carlo simulation experiments.

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“…Successive interference cancellation (SIC) is used to decode the messages of NOMA UEs. Sharing a resource-block by multiple UEs in NOMA improves the spectral efficiency at the expense of introduction of interference between the UEs being served by the same BS [2], [3]; the interference in this case is referred to as intracell interference. In NOMA, the resource allocation for each UE is based on some measure of channel strength, such that decoding is easier for UEs with weaker channels.…”

Section: Introductionmentioning

confidence: 99%

Meta Distribution and Secrecy of Partial Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

Ali¹,

Al-Dweik²

2021

Preprint

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<div>This work studies the meta distribution in a partial-NOMA network to obtain fine-grained information about the network performance. As the meta distribution is approximated using the beta distribution via moment matching of the first two moments, reduced integral expressions are derived for the first two moments of the meta distribution. Accurate approximate moments are also proposed to further simplify the calculation. Security is an issue in partial-NOMA because the strong user may decode the weak user’s message in the process of decoding its own message using flexible successive interference cancellation (FSIC). Therefore, a measure of secrecy is defined in this context and the secrecy probability is derived for the case of: 1) a malicious strong user that prioritizes eavesdropping, 2) an innocent strong user that decodes the weak user’s message only when it is required to do so. The obtained results highlight the superiority of partial-NOMA over traditional NOMA in terms of secrecy. They also show that receive filtering and FSIC have a significant positive impact on the secrecy of partial- OMA. Furthermore, partial-NOMA with a small overlap of the resource-block can secure the network from the additional deterioration a malicious eavesdropper may cause.</div>

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Exact Bit Error-Rate Analysis of Two-User NOMA Using QAM With Arbitrary Modulation Orders

Cited by 68 publications

References 26 publications

Collaborative Signal Multiple Access: A Robust Alternative to NOMA Using SIC

Collaborative Signal Multiple Access: A Robust Alternative to NOMA Using SIC

Power-Tolerant NOMA Using Data-Aware Adaptive Power Assignment for IoT Systems

Meta Distribution and Secrecy of Partial Non-Orthogonal Multiple Access (NOMA) in Poisson Networks

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